OpenVLM Video - MMBench-Video - Coarse Perception: leaderboard

MMBench-Video Coarse Perception (CP) score from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): open-ended answers to questions on video topic, emotion, scene and style, rated by GPT-4 against a reference from 0 to 3 and averaged; higher is better. For models listed at several frame budgets (Gemini-1.5-Pro, GPT-4o, Aria) the 1 fps run is used.

Metric: GPT-4 Rating (0-3). Source: huggingface.co. Saturation forecast: Estimated already saturated. 45 models tracked.

Top models

#ModelScoreOverall rank
1InternVL2.5-78B2.08#434
2Gemini 2.0 Flash2.04#351
3InternVL3-38B1.88#413
4InternVL3-78B1.86#361
5MiniCPM-V-2.61.85#827
6Qwen2.5-Omni-7B1.85#633
7InternVL3-8B1.8#624
8Gemini 1.5 Flash1.77#620
9Qwen 2 VL 72B1.73#450
10Qwen 2.5 VL 7B1.7#641
11Qwen 2 VL 7B1.68#743
12Claude 3.5 Sonnet1.57#362
13InternVL2-8B1.41#813
14Phi-4 Multimodal Instruct0.96#922

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-video-mmbench-video-coarse-perception · How It Works · Data refreshed daily, snapshot 2026-11-05.